We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, and experience with various AI frameworks and tools. This role requires hands-on experience in developing and deploying AI models, along with proficiency in programming and cloud technologies.

Key Responsibilities:

• Design, develop, and implement AI and machine learning models using supervised and unsupervised algorithms, including regression, classification, ensemble models, RNN, LSTM, and GRU.
• Utilize deep learning algorithms and artificial neural networks to develop predictive and prescriptive analytics solutions.
• Apply natural language processing (NLP) techniques for text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.
• Leverage LangChain and Open LLM frameworks for tasks such as summarization, classification, named entity recognition, and question answering.
• Develop generative AI techniques, including prompt engineering and working with Vector DB, and various large language models (LLMs) like OpenAI, LlamaIndex, Azure OpenAI, and other open-source LLMs.
• Gain hands-on experience with Generative AI technologies, including Retrieval-Augmented Generation (RAG) architecture, fine-tuning techniques, and inferencing frameworks.
• Work with big data technologies and frameworks to manage and analyze large datasets.
• Utilize Microsoft Azure for building and monitoring CI/CD pipelines, ensuring efficient and reliable deployment of AI models and applications.
• Collaborate with cross-functional teams to understand business. requirements and deliver AI solutions that meet organizational needs.
• Stay updated with the latest advancements in AI and machine learning technologies, and implement best practices.

Required qualifications and experience:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field with a minimum of second class upper.
• Strong proficiency in programming languages such as Python and SQL.
• A minimum of 3 years of experience in predictive and prescriptive analytics, including machine learning and deep learning algorithms.
• At least 2 years of experience in NLP, text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.
• 1+ years of experience in using LangChain and Open LLM frameworks for various NLP tasks.
• Proficiency in generative AI techniques and tools, including prompt engineering, Vector DB, and large language models.
• Hands-on experience with generative AI technologies such as RAG architecture, fine-tuning, and inferencing frameworks.
• Familiarity with big data technologies and frameworks.
• Sound knowledge of Microsoft Azure, particularly in building and monitoring CI/CD pipelines.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Experience with additional programming languages and tools relevant to AI and machine learning.
• Familiarity with other cloud platforms and AI frameworks.
• Published research or contributions to the AI community through open-source projects or academic papers.